-------------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  C:\Users\rhhaefen\Dropbox\EPA_WQ_Grant_Survey_Files\Final_Data_Public\log\6-case_stu
> dy.log
  log type:  text
 opened on:  21 Jan 2023, 23:29:18

. log off ;
      name:  <unnamed>
       log:  C:\Users\rhhaefen\Dropbox\EPA_WQ_Grant_Survey_Files\Final_Data_Public\log\6-case_stu
> dy.log
  log type:  text
 paused on:  21 Jan 2023, 23:29:18
-------------------------------------------------------------------------------------------------
-------------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  C:\Users\rhhaefen\Dropbox\EPA_WQ_Grant_Survey_Files\Final_Data_Public\log\6-case_stu
> dy.log
  log type:  text
resumed on:  21 Jan 2023, 23:29:18

.   oprobit cat bi fc sc tn tp turb id1 id2 id3 id4 id5 [fw=ec], vce(cluster id) ;

note: id5 omitted because of collinearity
Iteration 0:   log pseudolikelihood = -52422.971  
Iteration 1:   log pseudolikelihood = -40187.476  
Iteration 2:   log pseudolikelihood = -40062.411  
Iteration 3:   log pseudolikelihood = -40062.104  
Iteration 4:   log pseudolikelihood = -40062.104  

Ordered probit regression                       Number of obs     =     50,000
                                                Wald chi2(2)      =          .
                                                Prob > chi2       =          .
Log pseudolikelihood = -40062.104               Pseudo R2         =     0.2358

                                     (Std. Err. adjusted for 5 clusters in id)
------------------------------------------------------------------------------
             |               Robust
         cat |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
          bi |   .9109499   .1581352     5.76   0.000     .6010106    1.220889
          fc |   .0000686   .0000262     2.62   0.009     .0000172    .0001199
          sc |   .0011447   .0001006    11.37   0.000     .0009475     .001342
          tn |   .1027869   .0170235     6.04   0.000     .0694215    .1361523
          tp |   .2245749   .0987958     2.27   0.023     .0309386    .4182112
        turb |   .0081166   .0032368     2.51   0.012     .0017726    .0144606
         id1 |  -.0041305   .0023902    -1.73   0.084    -.0088152    .0005542
         id2 |    .177707   .0066523    26.71   0.000     .1646688    .1907453
         id3 |  -.6689765   .0154266   -43.37   0.000    -.6992119    -.638741
         id4 |  -.6708903   .0153217   -43.79   0.000    -.7009204   -.6408603
         id5 |          0  (omitted)
-------------+----------------------------------------------------------------
       /cut1 |    4.86002    .815709                       3.26126    6.458781
       /cut2 |   6.587022   .8098423                      4.999761    8.174284
------------------------------------------------------------------------------

.   log off ;
      name:  <unnamed>
       log:  C:\Users\rhhaefen\Dropbox\EPA_WQ_Grant_Survey_Files\Final_Data_Public\log\6-case_stu
> dy.log
  log type:  text
 paused on:  21 Jan 2023, 23:29:19
-------------------------------------------------------------------------------------------------
-------------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  C:\Users\rhhaefen\Dropbox\EPA_WQ_Grant_Survey_Files\Final_Data_Public\log\6-case_stu
> dy.log
  log type:  text
resumed on:  21 Jan 2023, 23:29:19

.   oprobit cat bi fc sc tn tp turb id1 id2 id3 id4 id5 [fw=mw], vce(cluster id) ;

note: id5 omitted because of collinearity
Iteration 0:   log pseudolikelihood = -52084.742  
Iteration 1:   log pseudolikelihood = -41695.858  
Iteration 2:   log pseudolikelihood = -41636.127  
Iteration 3:   log pseudolikelihood = -41635.979  
Iteration 4:   log pseudolikelihood = -41635.979  

Ordered probit regression                       Number of obs     =     50,000
                                                Wald chi2(2)      =          .
                                                Prob > chi2       =          .
Log pseudolikelihood = -41635.979               Pseudo R2         =     0.2006

                                     (Std. Err. adjusted for 5 clusters in id)
------------------------------------------------------------------------------
             |               Robust
         cat |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
          bi |   .3167587   .1037627     3.05   0.002     .1133876    .5201299
          fc |   .0000479   .0000167     2.87   0.004     .0000152    .0000807
          sc |   .0002734   .0005562     0.49   0.623    -.0008168    .0013636
          tn |   .0741036   .0242275     3.06   0.002     .0266185    .1215886
          tp |   .4031254    .099961     4.03   0.000     .2072055    .5990453
        turb |   .0232159   .0043526     5.33   0.000      .014685    .0317467
         id1 |  -.9240597   .0290829   -31.77   0.000    -.9810611   -.8670582
         id2 |  -.6690151   .0216566   -30.89   0.000    -.7114612    -.626569
         id3 |  -.9172759   .0289536   -31.68   0.000    -.9740238   -.8605279
         id4 |  -.8632061   .0263951   -32.70   0.000    -.9149395   -.8114728
         id5 |          0  (omitted)
-------------+----------------------------------------------------------------
       /cut1 |   1.895651   .6842908                      .5544659    3.236837
       /cut2 |   3.422477   .6126184                      2.221767    4.623187
------------------------------------------------------------------------------

.   log off ;
      name:  <unnamed>
       log:  C:\Users\rhhaefen\Dropbox\EPA_WQ_Grant_Survey_Files\Final_Data_Public\log\6-case_stu
> dy.log
  log type:  text
 paused on:  21 Jan 2023, 23:29:19
-------------------------------------------------------------------------------------------------
-------------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  C:\Users\rhhaefen\Dropbox\EPA_WQ_Grant_Survey_Files\Final_Data_Public\log\6-case_stu
> dy.log
  log type:  text
resumed on:  21 Jan 2023, 23:29:19

.   oprobit cat bi  fc  sc  tn  tp  turb  id6 id7 id8 [fw=hr], vce(cluster id) ;

note: id8 omitted because of collinearity
Iteration 0:   log pseudolikelihood = -32642.626  
Iteration 1:   log pseudolikelihood = -25193.765  
Iteration 2:   log pseudolikelihood = -25131.515  
Iteration 3:   log pseudolikelihood = -25131.389  
Iteration 4:   log pseudolikelihood = -25131.389  

Ordered probit regression                       Number of obs     =     30,000
                                                Wald chi2(0)      =          .
                                                Prob > chi2       =          .
Log pseudolikelihood = -25131.389               Pseudo R2         =     0.2301

                                     (Std. Err. adjusted for 3 clusters in id)
------------------------------------------------------------------------------
             |               Robust
         cat |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
          bi |   .2375807   .0599486     3.96   0.000     .1200835    .3550779
          fc |   .0002518   .0000937     2.69   0.007     .0000682    .0004354
          sc |   .0021633   .0003986     5.43   0.000     .0013821    .0029446
          tn |   .0695236   .0132899     5.23   0.000     .0434759    .0955713
          tp |  -.0760291   .1052173    -0.72   0.470    -.2822513    .1301931
        turb |   .0130247   .0055485     2.35   0.019     .0021498    .0238996
         id6 |  -.9751387   .0627128   -15.55   0.000    -1.098054   -.8522238
         id7 |   .1404157   .0355237     3.95   0.000     .0707906    .2100408
         id8 |          0  (omitted)
-------------+----------------------------------------------------------------
       /cut1 |   1.970425   .6804315                      .6368041    3.304047
       /cut2 |   3.258697    .654771                       1.97537    4.542025
------------------------------------------------------------------------------

.     log off ;
      name:  <unnamed>
       log:  C:\Users\rhhaefen\Dropbox\EPA_WQ_Grant_Survey_Files\Final_Data_Public\log\6-case_stu
> dy.log
  log type:  text
 paused on:  21 Jan 2023, 23:29:19
-------------------------------------------------------------------------------------------------
-------------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  C:\Users\rhhaefen\Dropbox\EPA_WQ_Grant_Survey_Files\Final_Data_Public\log\6-case_stu
> dy.log
  log type:  text
resumed on:  21 Jan 2023, 23:29:19

.       sum `demos' ;

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
        male |      1,896    .4641303    .4952851          0          1
         age |      1,896    51.10127    16.33085         18         90
     college |      1,896    .7480163    .4313104          0          1
       white |      1,896    .7675108    .4180058          0          1

.    log off ;
      name:  <unnamed>
       log:  C:\Users\rhhaefen\Dropbox\EPA_WQ_Grant_Survey_Files\Final_Data_Public\log\6-case_stu
> dy.log
  log type:  text
 paused on:  21 Jan 2023, 23:29:19
-------------------------------------------------------------------------------------------------
-------------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  C:\Users\rhhaefen\Dropbox\EPA_WQ_Grant_Survey_Files\Final_Data_Public\log\6-case_stu
> dy.log
  log type:  text
resumed on:  21 Jan 2023, 23:29:19

. foreach y of varlist `demos' { ;
  2.    replace `y' = 0 if dummy == 0 ;
  3. } ;
(3,576 real changes made)
(7,584 real changes made)
(5,700 real changes made)
(5,860 real changes made)

. log on ;
(log already on)

. /* WTP SPACE RANDOM COEFFICIENT MODEL - BASELINE */
> 
> mixlogitwtp ce dummy `demos' [pw=wgt_final], group(coid) id(resp_id) price(mcost) rand(ec_g ec_
> p hr_g hr_p md_g md_p) nrep(250) vce(robust) ;

Iteration 0:   log pseudolikelihood =  -3692.657  (not concave)
Iteration 1:   log pseudolikelihood = -3365.3904  (not concave)
Iteration 2:   log pseudolikelihood = -3359.8195  
Iteration 3:   log pseudolikelihood = -3304.9303  (not concave)
Iteration 4:   log pseudolikelihood = -3290.8903  
Iteration 5:   log pseudolikelihood = -3266.2897  
Iteration 6:   log pseudolikelihood = -3262.7496  
Iteration 7:   log pseudolikelihood = -3262.6003  
Iteration 8:   log pseudolikelihood = -3262.5887  
Iteration 9:   log pseudolikelihood = -3262.5887  

Mixed logit model in WTP space                  Number of obs     =     15,168
                                                Wald chi2(12)     =    1087.50
Log pseudolikelihood = -3262.5887               Prob > chi2       =     0.0000

------------------------------------------------------------------------------
             |               Robust
          ce |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
Mean         |
       dummy |    14.9551   3.394468     4.41   0.000     8.302069    21.60814
        male |  -1.630105   1.681037    -0.97   0.332    -4.924877    1.664667
         age |  -.1399781   .0513579    -2.73   0.006    -.2406378   -.0393184
     college |   3.815571   1.700058     2.24   0.025      .483519    7.147622
       white |  -5.957026   1.910814    -3.12   0.002    -9.702152     -2.2119
        ec_g |   .3188457   .0580402     5.49   0.000     .2050889    .4326024
        ec_p |   -.276512   .0586978    -4.71   0.000    -.3915575   -.1614664
        hr_g |   .2616566   .0586321     4.46   0.000     .1467398    .3765734
        hr_p |  -.6814736    .154192    -4.42   0.000    -.9836843    -.379263
        md_g |   .1527001    .037483     4.07   0.000     .0792347    .2261655
        md_p |   -.177933   .0741067    -2.40   0.016    -.3231795   -.0326865
       mcost |  -1.970238    .104847   -18.79   0.000    -2.175734   -1.764742
-------------+----------------------------------------------------------------
SD           |
        ec_g |   .8297363   .0873132     9.50   0.000     .6586056    1.000867
        ec_p |   .3350668   .1517776     2.21   0.027     .0375881    .6325456
        hr_g |   .5677385   .1131209     5.02   0.000     .3460256    .7894514
        hr_p |  -1.811267   .2630972    -6.88   0.000    -2.326928   -1.295605
        md_g |   .5223477    .103475     5.05   0.000     .3195405    .7251549
        md_p |   1.011984    .109776     9.22   0.000     .7968271    1.227141
       mcost |  -.2035881    .198862    -1.02   0.306    -.5933504    .1861742
------------------------------------------------------------------------------
The sign of the estimated standard deviations is irrelevant: interpret them as
being positive

. nlcom wtp : -12*(_b[ec_g]-_b[ec_p]+_b[hr_g]-_b[hr_p]+_b[md_g]-_b[md_p]) ;

         wtp:  -12*(_b[ec_g]-_b[ec_p]+_b[hr_g]-_b[hr_p]+_b[md_g]-_b[md_p])

------------------------------------------------------------------------------
          ce |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         wtp |  -22.42945   2.445469    -9.17   0.000    -27.22248   -17.63642
------------------------------------------------------------------------------

. test ec_g == -ec_p ;

 ( 1)  [Mean]ec_g + [Mean]ec_p = 0

           chi2(  1) =    0.25
         Prob > chi2 =    0.6196

. test hr_g == -hr_p ;

 ( 1)  [Mean]hr_g + [Mean]hr_p = 0

           chi2(  1) =    6.54
         Prob > chi2 =    0.0106

. test md_g == -md_p ;

 ( 1)  [Mean]md_g + [Mean]md_p = 0

           chi2(  1) =    0.09
         Prob > chi2 =    0.7652

. test (ec_g == -ec_p) (hr_g == -hr_p) (md_g == -md_p) ;

 ( 1)  [Mean]ec_g + [Mean]ec_p = 0
 ( 2)  [Mean]hr_g + [Mean]hr_p = 0
 ( 3)  [Mean]md_g + [Mean]md_p = 0

           chi2(  3) =    6.93
         Prob > chi2 =    0.0743

. test (ec_g == -ec_p == hr_g == -hr_p) ;

 ( 1)  [Mean]ec_g + [Mean]ec_p = 0
 ( 2)  [Mean]ec_g - [Mean]hr_g = 0
 ( 3)  [Mean]ec_g + [Mean]hr_p = 0

           chi2(  3) =    6.92
         Prob > chi2 =    0.0745

. test (ec_g == -ec_p == hr_g == -hr_p == md_g == -md_p) ;

 ( 1)  [Mean]ec_g + [Mean]ec_p = 0
 ( 2)  [Mean]ec_g - [Mean]hr_g = 0
 ( 3)  [Mean]ec_g + [Mean]hr_p = 0
 ( 4)  [Mean]ec_g - [Mean]md_g = 0
 ( 5)  [Mean]ec_g + [Mean]md_p = 0

           chi2(  5) =   15.41
         Prob > chi2 =    0.0088

. log off ;
      name:  <unnamed>
       log:  C:\Users\rhhaefen\Dropbox\EPA_WQ_Grant_Survey_Files\Final_Data_Public\log\6-case_stu
> dy.log
  log type:  text
 paused on:  22 Jan 2023, 00:29:09
-------------------------------------------------------------------------------------------------
-------------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  C:\Users\rhhaefen\Dropbox\EPA_WQ_Grant_Survey_Files\Final_Data_Public\log\6-case_stu
> dy.log
  log type:  text
resumed on:  22 Jan 2023, 00:29:09

. sort stream scenario ;

. di "HOUSEHOLD-LEVEL WAKE COUNTY BENEFITS" ;
HOUSEHOLD-LEVEL WAKE COUNTY BENEFITS

. collapse (mean) wtp wtp_* [w=wgt_final], by(stream scenario) ;
(analytic weights assumed)

. log on ;
(log already on)

.   list ;

     +------------------------------------------------------------------------------+
     |            stream   scenario         wtp      wtp_ec      wtp_hr      wtp_mw |
     |------------------------------------------------------------------------------|
  1. | Crabtree & Walnut          1    126.7829   61.463093   25.939539   12.597368 |
  2. | Crabtree & Walnut          2   39.211821   51.876286   32.861416   15.262298 |
  3. |    Middle & Swift          1   86.492955   63.019328    24.65797   12.322702 |
  4. |    Middle & Swift          2   31.574692   54.163283   30.799797   15.036921 |
     +------------------------------------------------------------------------------+

.  log off ;
      name:  <unnamed>
       log:  C:\Users\rhhaefen\Dropbox\EPA_WQ_Grant_Survey_Files\Final_Data_Public\log\6-case_stu
> dy.log
  log type:  text
 paused on:  22 Jan 2023, 00:29:09
-------------------------------------------------------------------------------------------------
-------------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  C:\Users\rhhaefen\Dropbox\EPA_WQ_Grant_Survey_Files\Final_Data_Public\log\6-case_stu
> dy.log
  log type:  text
resumed on:  22 Jan 2023, 00:29:32

. d ;

Contains data from C:\Users\rhhaefen\AppData\Local\Temp\ST_4404_000007.tmp
  obs:         1,001                          
 vars:             5                          22 Jan 2023 00:29
-------------------------------------------------------------------------------------------------
              storage   display    value
variable name   type    format     label      variable label
-------------------------------------------------------------------------------------------------
bs_id           float   %9.0g                 
wtp1            double  %10.0g                Crabtree & Walnut Scenario #1
wtp2            double  %10.0g                Crabtree & Walnut Scenario #2
wtp3            double  %10.0g                Middle & Swift Scenario #1
wtp4            double  %10.0g                Middle & Swift Scenario #2
-------------------------------------------------------------------------------------------------
Sorted by: 

. sum if bs_id == 0 ;

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
       bs_id |          1           0           .          0          0
        wtp1 |          1    126.7829           .   126.7829   126.7829
        wtp2 |          1    39.21182           .   39.21182   39.21182
        wtp3 |          1    86.49296           .   86.49296   86.49296
        wtp4 |          1    31.57469           .   31.57469   31.57469

. sum if bs_id ~= 0 ;

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
       bs_id |      1,000       500.5    288.8194          1       1000
        wtp1 |      1,000      127.01    12.67987   82.23891   161.8628
        wtp2 |      1,000    39.26735    3.792127   26.40682   49.97746
        wtp3 |      1,000    86.66402    8.440713    58.3953   109.2068
        wtp4 |      1,000    31.62665    2.972394    21.8622   39.85788

. forv i = 1/4 { ;
  2.    sum wtp`i' if bs_id ~= 0, detail ;
  3.    sort wtp`i' ;
  4.    di "HOUSEHOLD LEVEL WTPs" ;
  5.    di "95% CI Lower Bound for WTP`i': " wtp`i'[25] ;
  6.    di "95% CI Upper Bound for WTP`i': " wtp`i'[975] ;
  7. } ;

                Crabtree & Walnut Scenario #1
-------------------------------------------------------------
      Percentiles      Smallest
 1%     95.22512       82.23891
 5%     105.7587       88.27701
10%     110.4266       92.08841       Obs               1,000
25%     118.7385       92.45527       Sum of Wgt.       1,000

50%     127.4826                      Mean             127.01
                        Largest       Std. Dev.      12.67987
75%     135.7767       160.9012
90%     142.5276       161.2134       Variance       160.7792
95%     146.7939        161.761       Skewness       -.158747
99%     155.4672       161.8628       Kurtosis       2.963543
HOUSEHOLD LEVEL WTPs
95% CI Lower Bound for WTP1: 101.01083
95% CI Upper Bound for WTP1: 150.43764

                Crabtree & Walnut Scenario #2
-------------------------------------------------------------
      Percentiles      Smallest
 1%     29.68997       26.40682
 5%     32.84115       27.85434
10%     34.31927       28.81941       Obs               1,000
25%     36.76646       28.86596       Sum of Wgt.       1,000

50%     39.29903                      Mean           39.26735
                        Largest       Std. Dev.      3.792127
75%     41.95085       49.01524
90%     44.05215       49.13604       Variance       14.38023
95%     45.45794       49.65686       Skewness      -.1367645
99%     47.82086       49.97746       Kurtosis        2.92843
HOUSEHOLD LEVEL WTPs
95% CI Lower Bound for WTP2: 31.626783
95% CI Upper Bound for WTP2: 46.168994

                 Middle & Swift Scenario #1
-------------------------------------------------------------
      Percentiles      Smallest
 1%     65.78006        58.3953
 5%     72.00771       60.43639
10%     75.62198        61.8237       Obs               1,000
25%     81.08738       63.54656       Sum of Wgt.       1,000

50%     87.01249                      Mean           86.66402
                        Largest       Std. Dev.      8.440713
75%     92.53889       108.0948
90%     97.30291       108.6171       Variance       71.24563
95%     100.0998       108.8227       Skewness      -.1485949
99%     106.0731       109.2068       Kurtosis       2.940034
HOUSEHOLD LEVEL WTPs
95% CI Lower Bound for WTP3: 69.951773
95% CI Upper Bound for WTP3: 102.75455

                 Middle & Swift Scenario #2
-------------------------------------------------------------
      Percentiles      Smallest
 1%     24.12298        21.8622
 5%     26.66215        22.4784
10%     27.71336       23.03135       Obs               1,000
25%      29.6479       23.36335       Sum of Wgt.       1,000

50%     31.72569                      Mean           31.62665
                        Largest       Std. Dev.      2.972394
75%     33.67094       39.15866
90%     35.35511        39.1858       Variance       8.835129
95%     36.31628       39.52156       Skewness      -.1347553
99%     38.20068       39.85788       Kurtosis       2.922455
HOUSEHOLD LEVEL WTPs
95% CI Lower Bound for WTP4: 25.592082
95% CI Upper Bound for WTP4: 37.228311

. forv i = 1/4 { ;
  2.    replace wtp`i' = wtp`i'*422144 ;
  3. } ;
(1,001 real changes made)
(1,001 real changes made)
(1,001 real changes made)
(1,001 real changes made)

.    sum if bs_id == 0 ;

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
       bs_id |          1           0           .          0          0
        wtp1 |          1    5.35e+07           .   5.35e+07   5.35e+07
        wtp2 |          1    1.66e+07           .   1.66e+07   1.66e+07
        wtp3 |          1    3.65e+07           .   3.65e+07   3.65e+07
        wtp4 |          1    1.33e+07           .   1.33e+07   1.33e+07

. sum if bs_id ~= 0 ;

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
       bs_id |      1,000       500.5    288.8194          1       1000
        wtp1 |      1,000    5.36e+07     5352732   3.47e+07   6.83e+07
        wtp2 |      1,000    1.66e+07     1600824   1.11e+07   2.11e+07
        wtp3 |      1,000    3.66e+07     3563196   2.47e+07   4.61e+07
        wtp4 |      1,000    1.34e+07     1254778    9228998   1.68e+07

. forv i = 1/4 { ;
  2.    sum wtp`i' if bs_id ~= 0, detail ;
  3.    sort wtp`i' ;
  4.    di "AGGREGATE WTPs:" ;
  5.    di "95% CI Lower Bound for WTP`i': " wtp`i'[25] ;
  6.    di "95% CI Upper Bound for WTP`i': " wtp`i'[975] ;
  7. } ;

                Crabtree & Walnut Scenario #1
-------------------------------------------------------------
      Percentiles      Smallest
 1%     4.02e+07       3.47e+07
 5%     4.46e+07       3.73e+07
10%     4.66e+07       3.89e+07       Obs               1,000
25%     5.01e+07       3.90e+07       Sum of Wgt.       1,000

50%     5.38e+07                      Mean           5.36e+07
                        Largest       Std. Dev.       5352732
75%     5.73e+07       6.79e+07
90%     6.02e+07       6.81e+07       Variance       2.87e+13
95%     6.20e+07       6.83e+07       Skewness       -.158747
99%     6.56e+07       6.83e+07       Kurtosis       2.963543
AGGREGATE WTPs:
95% CI Lower Bound for WTP1: 42641116
95% CI Upper Bound for WTP1: 63506345

                Crabtree & Walnut Scenario #2
-------------------------------------------------------------
      Percentiles      Smallest
 1%     1.25e+07       1.11e+07
 5%     1.39e+07       1.18e+07
10%     1.45e+07       1.22e+07       Obs               1,000
25%     1.55e+07       1.22e+07       Sum of Wgt.       1,000

50%     1.66e+07                      Mean           1.66e+07
                        Largest       Std. Dev.       1600824
75%     1.77e+07       2.07e+07
90%     1.86e+07       2.07e+07       Variance       2.56e+12
95%     1.92e+07       2.10e+07       Skewness      -.1367645
99%     2.02e+07       2.11e+07       Kurtosis        2.92843
AGGREGATE WTPs:
95% CI Lower Bound for WTP2: 13351057
95% CI Upper Bound for WTP2: 19489964

                 Middle & Swift Scenario #1
-------------------------------------------------------------
      Percentiles      Smallest
 1%     2.78e+07       2.47e+07
 5%     3.04e+07       2.55e+07
10%     3.19e+07       2.61e+07       Obs               1,000
25%     3.42e+07       2.68e+07       Sum of Wgt.       1,000

50%     3.67e+07                      Mean           3.66e+07
                        Largest       Std. Dev.       3563196
75%     3.91e+07       4.56e+07
90%     4.11e+07       4.59e+07       Variance       1.27e+13
95%     4.23e+07       4.59e+07       Skewness      -.1485949
99%     4.48e+07       4.61e+07       Kurtosis       2.940034
AGGREGATE WTPs:
95% CI Lower Bound for WTP3: 29529721
95% CI Upper Bound for WTP3: 43377217

                 Middle & Swift Scenario #2
-------------------------------------------------------------
      Percentiles      Smallest
 1%     1.02e+07        9228998
 5%     1.13e+07        9489120
10%     1.17e+07        9722546       Obs               1,000
25%     1.25e+07        9862698       Sum of Wgt.       1,000

50%     1.34e+07                      Mean           1.34e+07
                        Largest       Std. Dev.       1254778
75%     1.42e+07       1.65e+07
90%     1.49e+07       1.65e+07       Variance       1.57e+12
95%     1.53e+07       1.67e+07       Skewness      -.1347553
99%     1.61e+07       1.68e+07       Kurtosis       2.922455
AGGREGATE WTPs:
95% CI Lower Bound for WTP4: 10803544
95% CI Upper Bound for WTP4: 15715708

. log close ;
      name:  <unnamed>
       log:  C:\Users\rhhaefen\Dropbox\EPA_WQ_Grant_Survey_Files\Final_Data_Public\log\6-case_stu
> dy.log
  log type:  text
 closed on:  22 Jan 2023, 00:29:32
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